機械学習 · GitHub

A fast, effective data attribution method for neural networks in PyTorch

An analytical cost model evaluating DNN mappings (dataflows and tiling).

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

implementation of "DCCRN-Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement" by pytorch

Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

PyTorch Implementation of Adversarial Training for Free!

A list of awesome Machine Translation frameworks, libraries, software and papers

The official repository for the EuroCrops dataset.

Source Codes: Rumor Detection on Twitter with Tree-structured Recursive Neural Networks -- ACL 2018

a Deep Learning based Speller

書籍「最短コースでわかるPyTorch深層学習プログラミング」用サポートサイト

一个为ElectronBot机器人和瀚文键盘（HelloWorldKeyboard）开发的上位机软件（包含机器人USB操作SDK和瀚文键盘HID操作SDK），采用Windows App SDK框架编写界面。 A host computer software developed for ElectronBot robots (including robot USB operation SDK), using the Windows App SDK framework to write UI.

A more than 1000X faster paralleled LSTM-CRF implementation modified from the slower version in the Pytorch official tutorial (URL:https://pytorch.org/tutorials/beginner/nlp/advanced_tutorial.html).

EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13

Clean baseline implementation of PPO using an episodic TransformerXL memory

Free Malware Training Datasets for Machine Learning

Neural network sequence labeling model

Named Tensors for Legible Deep Learning in JAX

Euclidean Neural Networks

Code for training basic neural networks, especially the MNIST numbers dataset.